Advanced Methods for Knowledge Discovery from Complex Data

by Bandyopadhyay, Sanghamitra; Maulik, Ujjwal; Holder, Lawrence B.; Cook, Diane J.

• ISBN13: 9781852339890
• ISBN10: 1852339896
• Format: Hardcover
• Copyright: 2005-11-30
• Publisher: Springer-Verlag New York Inc

Summary

Advanced Methods for Knowledge Discovery from Complex Data brings together research articles by active practitioners and leading researchers reporting recent advances in the field of knowledge discovery, where the information is mined from complex data, such as unstructured text from the world-wide web, databases naturally represented as graphs and trees, geoscientific data from satellites and visual images, multimedia data and bio-informatics data.

Table of Contents

Contributors	ix
Preface	xv
Part I Foundations
Knowledge Discovery and Data Mining	3	(40)
Sanghamitra Bandyopadhyay
Ujjwal Maulik
Automatic Discovery of Class Hierarchies via Output Space Decomposition	43	(32)
Joydeep Ghosh
Shailesh Kumar
Melba M. Crawford
Graph-based Mining of Complex Data	75	(20)
Diane J. Cook
Lawrence B. Holder
Jeff Coble
Joseph Potts
Predictive Graph Mining with Kernel Methods	95	(28)
Thomas Gartner
TreeMiner: An Efficient Algorithm for Mining Embedded Ordered Frequent Trees	123	(30)
Mohammed J. Zaki
Sequence Data Mining	153	(36)
Sunita Sarawagi
Link-based Classification	189	(22)
Lise Getoor
Part II Applications
Knowledge Discovery from Evolutionary Trees	211	(20)
Sen Zhang
Jason T. L. Wang
Ontology-Assisted Mining of RDF Documents	231	(22)
Tao Jiang
Ah-Hwee Tan
Image Retrieval using Visual Features and Relevance Feedback	253	(32)
Sanjoy Kumar Saha
Amit Kumar Das
Bhabatosh Chanda
Significant Feature Selection Using Computational Intelligent Techniques for Intrusion Detection	285	(22)
Srinivas Mukkamala
Andrew H. Sung
On-board Mining of Data Streams in Sensor Networks	307	(30)
Mohamed Medhat Gaber
Shonali Krishnaswamy
Arkady Zaslavsky
Discovering an Evolutionary Classifier over a High-speed Nonstatic Stream	337	(28)
Jiong Yang
Xifeng Yan
Jiawei Han
Wei Wang
Index	365